From a.dorrn at fz-juelich.de Tue Aug 4 14:59:51 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Tue, 4 Aug 2020 14:59:51 +0200 Subject: [Neuroinfo] =?utf-8?q?Bernstein_Conference_2020_=E2=80=93_registr?= =?utf-8?q?ation_now_open?= Message-ID: Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year’s Bernstein Conference will take place September 29 - October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020. www.bernstein-conference.de ____ NEWS · Registration is now open: bit.ly/BC20_Registration · Participation will be free of charge · Abstract submission deadline is approaching on August 21 Please find more information here: bit.ly/BC20abstracts · Program for online Bernstein PhD symposium is now online: bit.ly/bc20_phd ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerrané, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'école normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From leahlee99999 at gmail.com Thu Aug 6 15:18:22 2020 From: leahlee99999 at gmail.com (Leah Lee) Date: Thu, 6 Aug 2020 15:18:22 +0200 Subject: [Neuroinfo] Labvanced.com New Eye-Tracking Cutting Edge Technology Message-ID: <8ee66d68-9200-697e-6506-e1a597811fa9@gmail.com> ** *Hello everyone,* * Labvanced has just released a cutting edgedeep learning based eye tracking algorithm,which uses the webcam to track the gaze of participants. We are highly confident that not only is this much better than webgazer.js or other algorithms doing webcam based eye tracking, but we actually believe that the accuracy is good enough for at least 80-90% of eye tracking research, which is normally done in the lab. We made several demos, so please try and give us feedback about this approach. You can use these studies also as templates for your own eye tracking research onLabvanced (https://www.labvanced.com ).  Please note that this algorithm runs completely client side and no video data / face data will be stored on our system, so your privacy and your participants’ privacy is guaranteed! 1. https://www.labvanced.com/page/library/11099This is a performance test where the predicted gaze position will be displayed onto the screen, so you can test how good the prediction really is. 2. https://www.labvanced.com/page/library/11327This is a little game where you have to fixate objects to "destroy" them before they reach the bottom of the screen. A few things to note: * Calibration will currently take 7-8 minutes. We will cut this down over time to about 4-5 minutes. * It requires a decent computer/laptop, we will soon provide an initial “system check” to exclude people with too old equipment, or other reasons why it might not work. * Further improvements in accuracy will most likely be coming in the next months by leveraging larger training sets and improving drift correction.  If you have any questions about our new Eye-Tracking technology, or if you are interested to use our platform, please email me, we will also be happy to provide a free demo via Google Meet at your convenience. Best regards, Leah Lee * -- Labvanced - The intuitive cloud solution for online experiments Grunigerstr. 19 33102 Paderborn Germany phone: (+49) 5251-5449385 website: www.labvanced.com email: leah at labvanced.com Scicovery GmbH Amtsgericht Paderborn HRB 13448 Geschäftsführer: Caspar Goeke, Holger Finger -------------- next part -------------- An HTML attachment was scrubbed... URL: From behnke at cs.uni-bonn.de Thu Aug 13 13:40:58 2020 From: behnke at cs.uni-bonn.de (Sven Behnke) Date: Thu, 13 Aug 2020 13:40:58 +0200 Subject: [Neuroinfo] Assistant Professorship Embedded Visual Computing @ University of Bonn, Germany Message-ID: <3c697db9-8dab-969a-f2cb-451aa17d518e@cs.uni-bonn.de> The Computer Science Institute at the Faculty of Mathematics and Natural Sciences of the University of Bonn, Germany, invites applications for a   *W1-Professorship (Tenure Track W2) for Embedded Visual Computing* starting as soon as possible. The institute is looking for excellent candidates holding a doctoral degree who are about to establish their own research agenda, complementing our current activities in the areas of Visual Computing, Artificial Intelligence, Intelligent Systems, and Robotics. Applicants must have demonstrated scientific excellence in at least one of the following areas: - Deep learning for visual computing - Parallel architectures for visual learning or inference - Embedded systems for visual perception or display - Energy-efficient computing - Edge computing - Novel computing paradigms, such as computing with stochastic elements or   neuromorphic computing. The successful candidate has a strong publication record. It is expected that the successful candidate actively participates in collaborative research initiatives of the Computer Science Institute. Initial teaching duties are four hours per week during lecture periods, e.g., in our English Master Computer Science programme. The initial employment of three years will be extended for three more years after a positive intermediate evaluation. After successful tenure evaluation, the position will be permanent with W2 denomination. This professorate is funded by the Tenure Track Program of the German Federal Government and the Federal States. Awarding tenure is not subject to a vacancy at the time when the fixed-term contract of the tenuretrack position expires. This call is aimed at early-career researchers. Candidates must have changed universities following the doctorate or have been working in academic research outside of the University of Bonn for at least two years prior to applying. Formal requirements are defined by $36 of the Higher Education Act of North Rhine-Westphalia (Hochschulgesetz Nordrhein-Westfalen). Regulations on tenure track at the University of Bonn and further information on tenure track professorates at the University of Bonn are available at https://www.uni-bonn. de/research/argelander-program/after-your-doctoral-studies/tenuretrack The University of Bonn actively supports diversity and equal opportunities. The University of Bonn has been certified as a family-friendly university and has a dual career service. Its aim is to increase the proportion of women in those fields in which women are underrepresented and to place a special focus on promoting their careers. Therefore, the university specifically requests applications from suitably qualified women. Applications will be handled in accordance with the Equal Opportunities Act of North Rhine-Westphalia. Applications from suitably qualified people with severe disabilities that have already been verified or from people with an equivalent status will be particularly welcomed. Applicants are asked to send their applications, including a CV with list of ten most important publications, full list of publications, research statement, teaching statement, and copies of degree certificates, as one PDF file to fachgruppe at informatik.uni-bonn.de. Applications received by September 15, 2020 are guaranteed full consideration. https://www.uni-bonn.de/die-universitaet/stellenangebote/dez.-3/w1-embedded-visual-computing-eng-eva-krit From gruasmaldonado at infovia.com.ar Fri Aug 14 06:33:27 2020 From: gruasmaldonado at infovia.com.ar (Connectionists) Date: Fri, 14 Aug 2020 08:33:27 +0400 Subject: [Neuroinfo] Connectionists: CNS*2020 Melbourne: Abstract DEADLINE EXTENDED Message-ID: <69afbd563e5ea494e59cad4d3fb6486b@mail-out-cmgw05-mia.tpn.terra.com> An HTML attachment was scrubbed... URL: From ansvarsutredningar at smalandslogistik.se Mon Aug 17 15:51:16 2020 From: ansvarsutredningar at smalandslogistik.se (Connectionists) Date: Mon, 17 Aug 2020 15:51:16 +0200 Subject: [Neuroinfo] Connectionists: CNS*2020 Melbourne: Abstract DEADLINE EXTENDED Message-ID: An HTML attachment was scrubbed... URL: From francis.kakomo at creditwatchservicesint.com Mon Aug 17 21:33:33 2020 From: francis.kakomo at creditwatchservicesint.com (Connectionists) Date: Mon, 17 Aug 2020 13:33:33 -0600 Subject: [Neuroinfo] Connectionists: CNS*2020 Melbourne: Abstract DEADLINE EXTENDED Message-ID: <5f3ae11e.1c69fb81.32dfc.6268SMTPIN_ADDED_MISSING@mx.google.com> An HTML attachment was scrubbed... URL: From rly at lbl.gov Mon Aug 17 22:01:21 2020 From: rly at lbl.gov (Ryan Ly) Date: Mon, 17 Aug 2020 13:01:21 -0700 Subject: [Neuroinfo] Neurodata Without Borders (NWB) User Days Workshop - September 21-23 Message-ID: Neurodata Without Borders (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, behavioral data, and stimulus data. The NWB Team will be hosting the 9th NWB User Days Workshop remotely on September 21-23. The workshop schedule will be centered on Central European Time (UTC+2) and will focus primarily on user training, including lessons for complete beginners to NWB. Come learn how to get your data into the NWB data standard and use state-of-the-art data analysis, visualization, and management tools with NWB, e.g., Brainstorm, CaImAn, calciumImagingAnalysis, DANDI, DataJoint, MIES, NWB Explorer, NWB Widgets, SpikeInterface, and suite2p. Event page: https://neurodatawithoutborders.github.io/nwb_hackathons/HCK09_2020_Remote/ Register here: https://bit.ly/2PHbE34 (it's free) Learn more about NWB at our website: https://www.nwb.org/ Best, The NWB Team -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly at lbl.gov Pronouns: he/him -------------- next part -------------- An HTML attachment was scrubbed... URL: From attila.csondes at mfsz.hu Tue Aug 18 03:34:04 2020 From: attila.csondes at mfsz.hu (Connectionists) Date: Tue, 18 Aug 2020 08:34:04 +0700 Subject: [Neuroinfo] Connectionists: CNS*2020 Melbourne: Abstract DEADLINE EXTENDED Message-ID: <5f3b300e.1c69fb81.b33b7.25a7SMTPIN_ADDED_MISSING@mx.google.com> An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Thu Aug 20 02:20:12 2020 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Thu, 20 Aug 2020 00:20:12 +0000 Subject: [Neuroinfo] Using Artificial Intelligence to read the mind of pets! Message-ID: <41C4E208-4574-4E56-A896-E2E5C1D767B9@unimelb.edu.au> Have you ever wondered what your pet is thinking? Researchers at the University of Melbourne’s School of Computing and Information Systems have developed an app for that!! It is called HappyPets and uses artificial intelligence (convolutional neural networks) to analyse and interpret the facial expressions of pets. And, yes, dogs are easier to read than cats! You can read more about how it works here: https://pursuit.unimelb.edu.au/articles/ever-wondered-what-your-pet-is-thinking And download the free app here: IOS: https://apps.apple.com/au/app/happy-pets/id1515202735 Android: https://play.google.com/store/apps/details?id=au.edu.unimelb.eresearch.happypets A bit of fun, but perhaps also a good example for teaching the wide capabilities of AI?! Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. [signature_1111626909] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 143404 bytes Desc: image001.png URL: From cognitivium at sciencebeam.com Sun Aug 23 13:12:06 2020 From: cognitivium at sciencebeam.com (Maryam) Date: Sun, 23 Aug 2020 15:42:06 +0430 Subject: [Neuroinfo] Neural Data Analysis Online Course Invitation Message-ID: <5f424f0b.1c69fb81.4868e.d56fSMTPIN_ADDED_MISSING@mx.google.com> You are invited to “Neural Data Analysis Online Course” Dear researcher; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-sessions “Neural Data Analysis Online Course” that is going to start on September 7, 2020. During this course you will learn: (       Programming fundamentals: Variables, plots, loops (       How to compare ERPs in a statistical way: confidence intervals and bootstrapping (       EEG spectrum and spectrogram: from time to frequency and time-frequency (       More on spectrum: windowing and zero padding (       Analysis of coupled rhythms: covariance and coherence (       Filtering, filtering, and filtering! (       Cross-frequency coupling and Hilbert transform (       Brain states in sleep and Hidden Markov Model Hamed Yeganegi, PhD researcher in systems neuroscience, Technical University of Munich, Germany, is the instructor of this course. He is also a member of German Neuroscience Society (NWG) and Member of Federation of European Neuroscience Societies (FENS). Registration is open until September 4, 2020. Special discount is considered for students. You won’t want to miss this! Don’t hesitate and register from the link below: https://sciencebeam.com/register-form-neural-data-analysis-online-course/ If you needed more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop at sciencebeam.com www.sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From leahlee99999 at gmail.com Thu Aug 27 13:09:59 2020 From: leahlee99999 at gmail.com (Leah Lee) Date: Thu, 27 Aug 2020 13:09:59 +0200 Subject: [Neuroinfo] Labvanced.com New Eye-Tracking Cutting Edge Technology Message-ID: * Hello everyone, Labvanced has just released a cutting edge deep learning based eye tracking algorithm, which we believe is better than anything available in the market today. With the Labvanced eye tracking software participants’ regular webcam is used in combination with advanced machine learning techniques to provide high accuracy gaze data. What makes Labvanced different from other eye tracking software? Labvanced is not only an eye tracking software, but labvanced provides a total solution for your psychological or UX study, and that means: 1-Cutting edge eye tracking software is better than anything available in the market today. 2-Great and easy to use interface even complex studies. 3- Over 25 stimuli types and more than 200 templates free to use (Videos- Images- Audio- Text- Questionnaires- Websites- YouTube) and many more 4- Audio and video recording of the participant. 5- Games and Multi-users studies. 6- Crowdsourcing. And many more state-of-the-art features Labvanced is easy to use with no need to code. So why do you waste your time writing complex code or using multiple software tools to build your study? We are confident that our eye tracking algorithms’ accuracy is good enough for 80-90 % of research questions, and with thelabvanced online study builder, you can build your study smoothly and in no time. If you want to check out our new cutting edge eye tracking software, we have several demo studies in our library : 1. https://www.labvanced.com/page/library/11099This is a performance test where the predicted gaze position will be displayed onto the screen, so you can test how good the prediction really is. 2. https://www.labvanced.com/page/library/11327This is a little game where you have to fixate objects to "destroy" them before they reach the bottom of the screen. If you have any questions about our new Eye-Tracking technology, or if you are interested to use our platform, please email me, we will also be happy to provide a free demo via Google Meet at your convenience. Best regards, Leah Lee * -- Labvanced - The intuitive cloud solution for online experiments Grunigerstr. 19 33102 Paderborn Germany phone: (+49) 5251-5449385 website: www.labvanced.com email: leah at labvanced.com Scicovery GmbH Amtsgericht Paderborn HRB 13448 Geschäftsführer: Caspar Goeke, Holger Finger -------------- next part -------------- An HTML attachment was scrubbed... URL: